The Trade Desk
We’re committed to making digital advertising better, because the future of the open internet depends on it.
Online Advertising • Real Time Bidding • Demand Side Platforms • Behavioral Targeting • Data Management Platforms
1001 - 5000
Senior Software Engineer, Kubernetes
June 15
🏢 In-office - London
The Trade Desk
We’re committed to making digital advertising better, because the future of the open internet depends on it.
Online Advertising • Real Time Bidding • Demand Side Platforms • Behavioral Targeting • Data Management Platforms
1001 - 5000
Description
• Provide solutions at scale for the infrastructure required to run a globally distributed system handling over 13 million requests per second. • Help product teams ship more efficiently and safely through automation, tools, and processes which can be used by all teams at The Trade Desk. • Ensure supportability by innovating solutions for our infrastructure through building, implementing, operating, and adding features to our heterogeneous Kubernetes ecosystem. • Participate in root-cause analysis and postmortem discussions to effectively drive long-term operational health improvements. • Analyze for process gaps and implement solutions to speed up execution and reduce manual toil. • While not strictly a Site Reliability Engineer (SRE) role, there are elements of the mindset that apply-- configuration management, capacity modeling, monitoring, data collection and analysis, key performance indicator definitions, and tracking. • Participate in a 24/7 on-call rotation.
Requirements
• Experience writing clean, maintainable, and well-tested code in any of the following languages: Python, Go / Golang, Typescript, Ruby, or C# • Designing, developing, deploying Kubernetes clusters in support of service-oriented applications • Domain knowledge or a strong motivation to learn several of the following: • Kubernetes Control Plane internals, addon extensions, scaling tools • Provisioning and deployment tooling for Kubernetes • Linux operating system internals, filesystems, storage technologies, protocols, and networking stack • Private cloud operations at scale • Experience with serverless infrastructure as a service is a huge plus, especially Kubernetes in traditional datacenters
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